Manjeet Dahiya

Manjeet Dahiya Welcome to the blog page of Manjeet Dahiya! Manjeet Dahiya is a Sr. Data Scientist with Delhivery. He has earlier worked with Agilent Technologies and United Online (Juno Online). Manjeet obtained his PhD in computer science from IIT Delhi, and BTech in electrical engineering from IIT Kanpur.

Manjeet writes articles/notes on data science, machine learning and AI, probability and statistics, programming languages, and computer science in general. Following are a few recent articles. For a complete list, checkout all posts.

Recent posts:

Expectation and Various Summaries of a Distribution

The distribution of a random variable is quite detailed — it contains all the probabilistic information of the random variable. Analogous to the summaries of the sample data sets like mean and variance, we can define summaries of the probability distributions. This post presents various summaries or properties of probability distributions.

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Joint Probability Distribution

The notion of probability distribution of a random variable can be extended to the joint distribution of multiple random variables. On the same lines, we can define the joint pdf, joint cumulative distribution and other various definitions for multiple random variables.

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Probability Distribution

This post presents the definition of probability distribution and cumulative distribution.

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